Start with a governed AI training and adoption pilot.

A workshop can introduce useful ideas, but a pilot gives the team more structure for applying AI to real work. It combines training, practice, guardrail discussion, use-case capture, and leadership visibility. It helps clarify next steps without assuming a larger rollout is ready.

When people practice AI on real work, they quickly see what is missing: unclear data, scattered documents, weak context, sensitive-data questions, workflow friction, or manager-support needs. Those observations help leadership decide what should happen after the pilot.

Use-case capture helps leadership see where AI may support real work and where the organization needs more preparation. It creates a practical list for discussion, not a promise that every use case should be automated or implemented.

Unless separately scoped, the pilot does not include custom GPT development, automation engineering, systems integration, company-wide rollout, legal review, compliance review, cybersecurity review, privacy review, or regulatory advice. It also does not guarantee adoption, ROI, productivity gains, savings, risk reduction, or implementation success.

No. AI Skills Master is optional and fit-dependent. Some teams may use it as a centralized adoption workspace, while others may prefer client-owned prompt repositories, shared guidance documents, Champion Council notes, workflow trackers, or existing internal tools. The right choice depends on the team’s needs and operating habits.

A pilot helps your team learn through real work. It gives leadership a structured way to see how people use AI, where confidence is building, where guardrails are needed, and which workflows may be worth deeper review later.

The pilot may help participants build practical AI fluency, practice prompting and output review, understand sensitive-data boundaries, identify role-aligned use patterns, and capture use cases from daily work. It also helps leadership see what kind of support may fit next: more training, a readiness review, a client-owned prompt repository, a governance rhythm, AI Skills Master, workflow redesign, or automation review.

A typical pilot may include kickoff and discovery, foundational AI training, safe-use and guardrails education, role-aligned use patterns, office hours, coaching, a governance review memo, leadership best-practices blueprint, Champions Culture Blueprint, use-case summary, and next-phase opportunity themes.

The pilot is not open-ended implementation consulting, custom GPT design, automation engineering, systems integration, agentic workflow design, compliance consulting, cybersecurity review, privacy review, legal review, regulatory advice, or company-wide rollout unless separately scoped.

A Governed AI Adoption Pilot helps a small team learn responsible AI use, apply AI to real work, capture useful use cases, and clarify next steps. It may include discovery, practical training, role-aligned examples, guardrail discussion, coaching or office hours, use-case capture, and a leadership summary. Exact scope should be confirmed before the pilot begins.

Unless separately scoped, the pilot does not include custom GPT development, automation engineering, systems integration, company-wide rollout, legal review, compliance review, cybersecurity review, privacy review, or regulatory advice. It also does not guarantee adoption, ROI, productivity gains, savings, risk reduction, or implementation success.

Pilot measurement should focus on practical signals: use cases surfaced, workflow fit, participant questions, guardrail needs, manager follow-through, and next-step clarity. These signals help leadership decide what should happen next, but they should not be presented as proof of ROI, adoption, productivity, savings, or risk reduction.

A role-aligned use pattern is a practical way a person or team may use AI in their actual work, such as drafting, summarizing, planning, reviewing, or organizing information. It should fit the role, use approved information, include human review, and respect the organization’s guardrails.

A first inquiry or readiness conversation should not require confidential or sensitive data. During a pilot, sensitive-data questions should be discussed before use, and handling should follow an approved process. Sixth City AI can discuss goals, workflows, and examples at a practical level before any sensitive-data handling is considered.

After the pilot, leadership can decide whether to continue with more training, readiness and context work, workflow review, governance support, Adoption Tools, advisory support, or separately scoped implementation planning. The pilot is designed to clarify next steps; it does not require a larger engagement.